Predicts how different drug formulations will treat

Smart system helps researchers in the fight against cancer

The system is equipped with a database of trials and tests on interactions between drug formulations and cancer.

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Doctors use different drug combinations to treat cancer, but testing these combinations to ensure their effectiveness and viability is a slow and expensive process, which often leads to delays in arriving at the latest treatments to address this deadly disease.

A team of researchers at the universities of Alto, Helsinki and Turku in Finland has developed an artificial intelligence system that can accurately predict how different drug combinations will deal with cancer cell types.

The study, reported by the scientific journal Nature Communications, stated that the new system was fed with a huge database of previous experiments and tests on the interactions between drug formulations and different cancers.

"The new system gives very accurate results, which indicates the possibility of reliance on them," said researcher Juhu Rasulo, from Alto University, explaining that the system can accurately predict the drug combination, which can inhibit the work of certain cancer cells, according to the website, "Science Daily." »The specialist in science and technology.

"This technique can help researchers to give priority to drug formulations that can be subjected to further study," says researcher Teru Aitocalio from the Institute of Molecular Medicine at the University of Helsinki.

The researchers believe that it is possible to use the same technique in discovering pharmacological combinations that are suitable in treating non-cancerous diseases, such as identifying types of antibiotics that can be used in the treatment of some bacterial diseases, for example.

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